Walker Erin J, Siminovitch Katherine A
Mount Sinai Hospital, Toronto, Canada.
Nat Clin Pract Rheumatol. 2007 Oct;3(10):580-9. doi: 10.1038/ncprheum0595.
Completion of the Human Genome Project has been rapidly followed by the emergence of high-throughput technologies that combine automation, miniaturization, and many other strategies and tools to enable systematic surveys of genome composition and gene expression. Of particular relevance to the prevention and management of disease are technologies such as high-throughput DNA genotyping, microarray-based gene-expression profiling, and mass spectrometry-facilitated protein profiling--platforms that collectively support the comprehensive analysis of DNA sequence variants across the genome and the global gene and protein expression changes that distinguish health from disease. Now used extensively in all facets of biomedical investigation, genomic and proteomic tools are already beginning to pinpoint molecular variants that influence risk and outcome in common diseases, and to thereby inform and direct development of novel molecular biomarkers and drug targets. As evidenced by recent advances in DNA sequencing methods, continued improvements in the scope, power, and cost efficiency of genomic and proteomic technologies should ensure their capacity to provide the scale and depth of knowledge required for translating genome sequence information into major medical impact.
人类基因组计划完成后,紧接着便迅速出现了高通量技术。这些技术结合了自动化、小型化以及许多其他策略和工具,能够对基因组组成和基因表达进行系统的研究。与疾病预防和管理特别相关的技术包括高通量DNA基因分型、基于微阵列的基因表达谱分析以及质谱辅助的蛋白质谱分析等平台,这些平台共同支持对全基因组DNA序列变异以及区分健康与疾病的全球基因和蛋白质表达变化进行全面分析。基因组学和蛋白质组学工具如今在生物医学研究的各个方面都得到了广泛应用,它们已经开始找出影响常见疾病风险和转归的分子变异,从而为新型分子生物标志物和药物靶点的研发提供信息并加以指导。正如DNA测序方法的最新进展所证明的那样,基因组学和蛋白质组学技术在范围、能力和成本效益方面的持续改进,应能确保它们有能力提供将基因组序列信息转化为重大医学影响所需的知识规模和深度。